Bayesian Network Meta-Analysis of Individual and Aggregate Data R package multinma version 0.9.1 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'. Software Depends: R (>= 3.4.0) Imports: methods, stats, graphics, survival, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.0.0), Rdpack (>= 0.7), tibble (>= 2.1.3), dplyr (>= 1.0.0), rlang, purrr, forcats, glue, randtoolbox, copula, tidyr (>= 1.0.0), stringr, Matrix, igraph, ggraph, ggplot2 (>= 3.3.0), ggdist (>= 2.1.1), truncdist, bayesplot LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.32.9) Suggests: testthat (>= 2.1.0), vdiffr, withr, knitr, rmarkdown, parallel, R.rsp, rprojroot, loo (>= 2.0.0), crayon, tidygraph, pkgdown, splines2 (>= 0.5.0), flexsurv, rstpm2 David M. Phillippo <david.phillippo@bristol.ac.uk> Comprehensive R Archive Network (CRAN) David M. Phillippo [aut, cre] (ORCID: <https://orcid.org/0000-0003-2672-7841>), Samuel J. Perren [ctb] (ORCID: <https://orcid.org/0009-0005-1921-6957>), Niels Dunnewind [ctb] (ORCID: <https://orcid.org/0009-0009-8675-9109>) GPL-3 2026-04-16 application/tgz https://CRAN.R-project.org/package=multinma doi:10.32614/CRAN.package.multinma